MATLAB Implementation of a MIMO-OFDM System with Comprehensive Code Description

This MATLAB implementation showcases a complete MIMO-OFDM (Multiple-Input Multiple-Output Orthogonal Frequency Division Multiplexing) system. The system leverages MIMO technology to achieve higher data transmission rates and improved anti-interference capabilities. Through the implementation of various modulation and demodulation techniques (such as QPSK, 16-QAM, or 64-QAM), the system achieves superior spectral efficiency and lower bit error rates. The code incorporates adaptive modulation and coding (AMC) techniques that dynamically adjust transmission parameters based on real-time channel conditions. This is implemented through channel state information (CSI) estimation and threshold-based modulation scheme selection algorithms. Key functions include channel matrix estimation, singular value decomposition (SVD) for spatial multiplexing, and cyclic prefix insertion/removal for OFDM synchronization. Modern signal processing algorithms and debugging tools are integrated throughout the codebase, ensuring system stability and reliability. The implementation includes comprehensive error checking, signal-to-noise ratio (SNR) monitoring, and performance visualization modules. The system architecture features modular design with separate components for channel encoding/decoding, pilot insertion, equalization, and BER calculation. Overall, this MIMO-OFDM system represents a robust and high-performance communication solution suitable for various wireless communication applications, including 5G networks, Wi-Fi systems, and broadband wireless access. The code provides a practical framework for researchers and engineers to study advanced wireless communication techniques.